Pandas Profiling Report

Dataset statistics

Number of variables	42
Number of observations	12973
Missing cells	51056
Missing cells (%)	9.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	3.0 MiB
Average record size in memory	245.0 B

Variable types

Numeric	17
Text	4
Categorical	15
DateTime	6

Alerts

`id_de_parliament` is highly overall correlated with `elecper` and 4 other fields	High correlation
`elecper` is highly overall correlated with `id_de_parliament` and 4 other fields	High correlation
`year_birth` is highly overall correlated with `id_de_parliament` and 3 other fields	High correlation
`district_id` is highly overall correlated with `list`	High correlation
`districtvote` is highly overall correlated with `closeness_district` and 2 other fields	High correlation
`closeness_district` is highly overall correlated with `districtvote`	High correlation
`listpos` is highly overall correlated with `listpos_total`	High correlation
`listpos_total` is highly overall correlated with `listpos`	High correlation
`elecsafe_district` is highly overall correlated with `districtvote` and 2 other fields	High correlation
`elecsafe_list` is highly overall correlated with `elecsafe_overall` and 2 other fields	High correlation
`elecsafe_overall` is highly overall correlated with `elecsafe_list`	High correlation
`partyid_cmp` is highly overall correlated with `partyid_parlgov` and 4 other fields	High correlation
`partyid_ches` is highly overall correlated with `party_elec` and 3 other fields	High correlation
`partyid_parlgov` is highly overall correlated with `partyid_cmp` and 4 other fields	High correlation
`partyid_parlgov2` is highly overall correlated with `partyid_cmp` and 4 other fields	High correlation
`id_de_parliament_string` is highly overall correlated with `id_de_parliament` and 10 other fields	High correlation
`mp_id_old` is highly overall correlated with `id_de_parliament` and 3 other fields	High correlation
`gender` is highly overall correlated with `id_de_parliament_string`	High correlation
`party_elec` is highly overall correlated with `partyid_cmp` and 6 other fields	High correlation
`party_elecdet` is highly overall correlated with `partyid_cmp` and 6 other fields	High correlation
`mandate` is highly overall correlated with `elecsafe_district` and 4 other fields	High correlation
`mandate_detailed` is highly overall correlated with `elecsafe_district` and 2 other fields	High correlation
`dualcand` is highly overall correlated with `elecsafe_list` and 1 other fields	High correlation
`list` is highly overall correlated with `district_id` and 1 other fields	High correlation
`partyid_bl` is highly overall correlated with `id_de_parliament` and 8 other fields	High correlation
`office_spell` is highly imbalanced (76.5%)	Imbalance
`minister` is highly imbalanced (79.8%)	Imbalance
`junminister` is highly imbalanced (76.9%)	Imbalance
`parlpres` is highly imbalanced (91.9%)	Imbalance
`commchair` is highly imbalanced (56.8%)	Imbalance
`ppgchair` is highly imbalanced (68.2%)	Imbalance
`whip` is highly imbalanced (81.2%)	Imbalance
`district_id` has 1463 (11.3%) missing values	Missing
`districtvote` has 6595 (50.8%) missing values	Missing
`closeness_district` has 1463 (11.3%) missing values	Missing
`list` has 2195 (16.9%) missing values	Missing
`listpos` has 2511 (19.4%) missing values	Missing
`listpos_total` has 2623 (20.2%) missing values	Missing
`elecsafe_district` has 1782 (13.7%) missing values	Missing
`elecsafe_list` has 1782 (13.7%) missing values	Missing
`elecsafe_overall` has 1782 (13.7%) missing values	Missing
`partyid_ches` has 8462 (65.2%) missing values	Missing
`partyid_bl` has 12320 (95.0%) missing values	Missing
`partyid_parlgov2` has 6299 (48.6%) missing values	Missing
`mp_id_old` has 1735 (13.4%) missing values	Missing
`id_de_parliament` is highly skewed (γ1 = 81.98301697)	Skewed
`districtvote` is highly skewed (γ1 = 54.62250718)	Skewed
`id_de_parliament_string` is highly skewed (γ1 = 81.98301462)	Skewed
`elecsafe_district` has 807 (6.2%) zeros	Zeros
`elecsafe_list` has 1695 (13.1%) zeros	Zeros

Reproduction

Analysis started	2023-11-09 19:46:42.180207
Analysis finished	2023-11-09 19:50:32.338601
Duration	3 minutes and 50.16 seconds
Software version	ydata-profiling vv4.6.1
Download configuration	config.json

id_de_parliament
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	4098
Distinct (%)	31.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11009738

Minimum	11000001
Maximum	66666664
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	668.1 KiB

Quantile statistics

Minimum	11000001
5-th percentile	11000197
Q1	11000958
median	11001888
Q3	11002808
95-th percentile	11004297
Maximum	66666664
Range	55666663
Interquartile range (IQR)	1850

Descriptive statistics

Standard deviation	625963.25
Coefficient of variation (CV)	0.056855415
Kurtosis	6795.3149
Mean	11009738
Median Absolute Deviation (MAD)	926
Skewness	81.983017
Sum	1.4282934 × 10¹¹
Variance	3.9182998 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11001938	18	0.1%
11002531	17	0.1%
11001012	17	0.1%
11001512	16	0.1%
11000102	15	0.1%
11002525	14	0.1%
11001849	14	0.1%
11002270	14	0.1%
11000570	14	0.1%
11002444	13	0.1%
Other values (4088)	12821	98.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
11000001	7	0.1%
11000002	6	< 0.1%
11000003	3	< 0.1%
11000004	2	< 0.1%
11000005	5	< 0.1%
11000007	4	< 0.1%
11000008	1	< 0.1%
11000009	7	0.1%
11000010	4	< 0.1%
11000011	4	< 0.1%

Value	Count	Frequency (%)
66666664	1	< 0.1%
55555556	1	< 0.1%
11004972	1	< 0.1%
11004971	1	< 0.1%
11004970	1	< 0.1%
11004969	1	< 0.1%
11004968	1	< 0.1%
11004967	1	< 0.1%
11004966	1	< 0.1%
11004962	1	< 0.1%

lastname
Text

Distinct	3433
Distinct (%)	26.5%
Missing	0
Missing (%)	0.0%
Memory size	718.7 KiB

Length

Max length	32
Median length	27
Mean length	7.315116
Min length	2

Characters and Unicode

Total characters	94899
Distinct characters	64
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1005 ?
Unique (%)	7.7%

Sample

1st row	Abelein
2nd row	Abelein
3rd row	Abelein
4th row	Abelein
5th row	Abelein

Value	Count	Frequency (%)
schmidt	135	1.0%
mueller	120	0.9%
fischer	53	0.4%
schroeder	40	0.3%
schneider	40	0.3%
schaefer	36	0.3%
vogel	34	0.3%
jahn	34	0.3%
becker	33	0.3%
neumann	33	0.3%
Other values (3438)	12567	95.7%

Most occurring characters

Value	Count	Frequency (%)
e	14491	15.3%
r	8542	9.0%
n	6654	7.0%
a	5466	5.8%
i	4918	5.2%
l	4900	5.2%
h	4395	4.6%
t	4137	4.4%
s	3680	3.9%
c	3330	3.5%
Other values (54)	34386	36.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	80546	84.9%
Uppercase Letter	13590	14.3%
Dash Punctuation	481	0.5%
Space Separator	164	0.2%
Open Punctuation	59	0.1%
Close Punctuation	59	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	14491	18.0%
r	8542	10.6%
n	6654	8.3%
a	5466	6.8%
i	4918	6.1%
l	4900	6.1%
h	4395	5.5%
t	4137	5.1%
s	3680	4.6%
c	3330	4.1%
Other values (23)	20033	24.9%

Uppercase Letter

Value	Count	Frequency (%)
S	2015	14.8%
B	1344	9.9%
H	1206	8.9%
K	1108	8.2%
M	959	7.1%
W	950	7.0%
L	755	5.6%
R	724	5.3%
G	720	5.3%
F	536	3.9%
Other values (15)	3273	24.1%

Open Punctuation

Value	Count	Frequency (%)
(	58	98.3%
[	1	1.7%

Close Punctuation

Value	Count	Frequency (%)
)	58	98.3%
]	1	1.7%

Dash Punctuation

Value	Count	Frequency (%)
-	481	100.0%

Space Separator

Value	Count	Frequency (%)
	164	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	94136	99.2%
Common	763	0.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	14491	15.4%
r	8542	9.1%
n	6654	7.1%
a	5466	5.8%
i	4918	5.2%
l	4900	5.2%
h	4395	4.7%
t	4137	4.4%
s	3680	3.9%
c	3330	3.5%
Other values (48)	33623	35.7%

Common

Value	Count	Frequency (%)
-	481	63.0%
	164	21.5%
(	58	7.6%
)	58	7.6%
[	1	0.1%
]	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94610	99.7%
None	289	0.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	14491	15.3%
r	8542	9.0%
n	6654	7.0%
a	5466	5.8%
i	4918	5.2%
l	4900	5.2%
h	4395	4.6%
t	4137	4.4%
s	3680	3.9%
c	3330	3.5%
Other values (46)	34097	36.0%

None

Value	Count	Frequency (%)
ö	103	35.6%
ü	103	35.6%
ä	32	11.1%
ß	27	9.3%
Ö	8	2.8%
é	8	2.8%
è	5	1.7%
ğ	3	1.0%

firstname
Text

Distinct	1473
Distinct (%)	11.4%
Missing	0
Missing (%)	0.0%
Memory size	718.7 KiB

Length

Max length	37
Median length	34
Mean length	7.1354351
Min length	3

Characters and Unicode

Total characters	92568
Distinct characters	62
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	491 ?
Unique (%)	3.8%

Sample

1st row	Manfred
2nd row	Manfred
3rd row	Manfred
4th row	Manfred
5th row	Manfred

Value	Count	Frequency (%)
hans	328	2.3%
peter	321	2.2%
karl	314	2.2%
wolfgang	276	1.9%
hermann	250	1.7%
josef	217	1.5%
heinrich	210	1.4%
franz	188	1.3%
klaus	186	1.3%
wilhelm	185	1.3%
Other values (985)	12018	82.9%

Most occurring characters

Value	Count	Frequency (%)
e	9764	10.5%
r	9655	10.4%
a	8152	8.8%
n	6695	7.2%
i	6180	6.7%
t	5034	5.4%
l	4962	5.4%
o	3621	3.9%
s	3202	3.5%
h	3166	3.4%
Other values (52)	32137	34.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	75074	81.1%
Uppercase Letter	15155	16.4%
Space Separator	1527	1.6%
Dash Punctuation	660	0.7%
Other Punctuation	86	0.1%
Open Punctuation	33	< 0.1%
Close Punctuation	33	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	9764	13.0%
r	9655	12.9%
a	8152	10.9%
n	6695	8.9%
i	6180	8.2%
t	5034	6.7%
l	4962	6.6%
o	3621	4.8%
s	3202	4.3%
h	3166	4.2%
Other values (19)	14643	19.5%

Uppercase Letter

Value	Count	Frequency (%)
H	2222	14.7%
W	1149	7.6%
K	1091	7.2%
A	1047	6.9%
M	1027	6.8%
J	971	6.4%
G	954	6.3%
E	924	6.1%
R	775	5.1%
F	715	4.7%
Other values (16)	4280	28.2%

Dash Punctuation

Value	Count	Frequency (%)
-	657	99.5%
–	3	0.5%

Other Punctuation

Value	Count	Frequency (%)
.	84	97.7%
"	2	2.3%

Space Separator

Value	Count	Frequency (%)
	1527	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	33	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	33	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	90229	97.5%
Common	2339	2.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	9764	10.8%
r	9655	10.7%
a	8152	9.0%
n	6695	7.4%
i	6180	6.8%
t	5034	5.6%
l	4962	5.5%
o	3621	4.0%
s	3202	3.5%
h	3166	3.5%
Other values (45)	29798	33.0%

Common

Value	Count	Frequency (%)
	1527	65.3%
-	657	28.1%
.	84	3.6%
(	33	1.4%
)	33	1.4%
–	3	0.1%
"	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	92492	99.9%
None	73	0.1%
Punctuation	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	9764	10.6%
r	9655	10.4%
a	8152	8.8%
n	6695	7.2%
i	6180	6.7%
t	5034	5.4%
l	4962	5.4%
o	3621	3.9%
s	3202	3.5%
h	3166	3.4%
Other values (46)	32061	34.7%

None

Value	Count	Frequency (%)
ü	25	34.2%
ö	25	34.2%
ä	12	16.4%
é	10	13.7%
Ö	1	1.4%

Punctuation

Value	Count	Frequency (%)
–	3	100.0%

elecper
Real number (ℝ)

HIGH CORRELATION

Distinct	19
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.560163

Minimum	1
Maximum	19
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	630.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	6
median	11
Q3	15
95-th percentile	19
Maximum	19
Range	18
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	5.4863684
Coefficient of variation (CV)	0.51953442
Kurtosis	-1.1755436
Mean	10.560163
Median Absolute Deviation (MAD)	5
Skewness	-0.11084286
Sum	136997
Variance	30.100238
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
19	933	7.2%
12	805	6.2%
18	802	6.2%
11	775	6.0%
14	768	5.9%
13	723	5.6%
16	680	5.2%
9	677	5.2%
17	674	5.2%
15	654	5.0%
Other values (9)	5482	42.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	556	4.3%
2	621	4.8%
3	596	4.6%
4	641	4.9%
5	637	4.9%
6	588	4.5%
7	614	4.7%
8	597	4.6%
9	677	5.2%
10	632	4.9%

Value	Count	Frequency (%)
19	933	7.2%
18	802	6.2%
17	674	5.2%
16	680	5.2%
15	654	5.0%
14	768	5.9%
13	723	5.6%
12	805	6.2%
11	775	6.0%
10	632	4.9%

gender
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	630.2 KiB

male	10427
female	2546

Length

Max length	6
Median length	4
Mean length	4.3925075
Min length	4

Characters and Unicode

Total characters	56984
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	male
2nd row	male
3rd row	male
4th row	male
5th row	male

Common Values

Value	Count	Frequency (%)
male	10427	80.4%
female	2546	19.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
male	10427	80.4%
female	2546	19.6%

Most occurring characters

Value	Count	Frequency (%)
e	15519	27.2%
m	12973	22.8%
a	12973	22.8%
l	12973	22.8%
f	2546	4.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	56984	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	15519	27.2%
m	12973	22.8%
a	12973	22.8%
l	12973	22.8%
f	2546	4.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	56984	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	15519	27.2%
m	12973	22.8%
a	12973	22.8%
l	12973	22.8%
f	2546	4.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	56984	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	15519	27.2%
m	12973	22.8%
a	12973	22.8%
l	12973	22.8%
f	2546	4.5%

year_birth
Real number (ℝ)

HIGH CORRELATION

Distinct	118
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1935.9913

Minimum	1875
Maximum	1992
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	642.7 KiB

Quantile statistics

Minimum	1875
5-th percentile	1897
Q1	1920
median	1939
Q3	1952
95-th percentile	1972
Maximum	1992
Range	117
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	22.696016
Coefficient of variation (CV)	0.011723202
Kurtosis	-0.64221048
Mean	1935.9913
Median Absolute Deviation (MAD)	16
Skewness	-0.17601542
Sum	25115615
Variance	515.10916
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1943	331	2.6%
1942	283	2.2%
1949	270	2.1%
1944	265	2.0%
1940	256	2.0%
1939	255	2.0%
1941	247	1.9%
1929	242	1.9%
1952	232	1.8%
1936	219	1.7%
Other values (108)	10373	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1875	1	< 0.1%
1876	8	0.1%
1877	1	< 0.1%
1878	2	< 0.1%
1879	6	< 0.1%
1880	8	0.1%
1881	12	0.1%
1882	3	< 0.1%
1883	11	0.1%
1884	14	0.1%

Value	Count	Frequency (%)
1992	2	< 0.1%
1991	2	< 0.1%
1990	3	< 0.1%
1989	12	0.1%
1988	2	< 0.1%
1987	12	0.1%
1986	14	0.1%
1985	18	0.1%
1984	22	0.2%
1983	22	0.2%

date_birth
Date

Distinct	3861
Distinct (%)	29.8%
Missing	1
Missing (%)	< 0.1%
Memory size	718.7 KiB

Minimum	1875-12-14 00:00:00
Maximum	1992-12-12 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

date_birth_text
Date

Distinct	3863
Distinct (%)	29.8%
Missing	0
Missing (%)	0.0%
Memory size	718.7 KiB

Minimum	1875-12-14 00:00:00
Maximum	1992-12-12 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

mandate_start
Date

Distinct	685
Distinct (%)	5.3%
Missing	0
Missing (%)	0.0%
Memory size	718.7 KiB

Minimum	1949-09-07 00:00:00
Maximum	2021-08-19 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

mandate_end
Date

Distinct	687
Distinct (%)	5.3%
Missing	0
Missing (%)	0.0%
Memory size	718.7 KiB

Minimum	1949-09-15 00:00:00
Maximum	2021-10-26 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

office_spell
Categorical

IMBALANCE

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	718.7 KiB

1.0	11638
2.0	1155
3.0	161
4.0	16
5.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	38919
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	11638	89.7%
2.0	1155	8.9%
3.0	161	1.2%
4.0	16	0.1%
5.0	3	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	11638	89.7%
2.0	1155	8.9%
3.0	161	1.2%
4.0	16	0.1%
5.0	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
.	12973	33.3%
0	12973	33.3%
1	11638	29.9%
2	1155	3.0%
3	161	0.4%
4	16	< 0.1%
5	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	25946	66.7%
Other Punctuation	12973	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	12973	50.0%
1	11638	44.9%
2	1155	4.5%
3	161	0.6%
4	16	0.1%
5	3	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	12973	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	38919	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	12973	33.3%
0	12973	33.3%
1	11638	29.9%
2	1155	3.0%
3	161	0.4%
4	16	< 0.1%
5	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	38919	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	12973	33.3%
0	12973	33.3%
1	11638	29.9%
2	1155	3.0%
3	161	0.4%
4	16	< 0.1%
5	3	< 0.1%

spell_start
Date

Distinct	1363
Distinct (%)	10.5%
Missing	0
Missing (%)	0.0%
Memory size	718.7 KiB

Minimum	1949-09-07 00:00:00
Maximum	2021-08-19 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

spell_end
Date

Distinct	1361
Distinct (%)	10.5%
Missing	0
Missing (%)	0.0%
Memory size	718.7 KiB

Minimum	1949-09-12 00:00:00
Maximum	2021-10-26 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

party_elec
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	630.4 KiB

SPD	4682
CDU	4542
FDP	1223
CSU	1112
Greens	636
Other values (4)	778

Length

Max length	14
Median length	3
Mean length	3.6591382
Min length	3

Characters and Unicode

Total characters	47470
Distinct characters	26
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CDU
2nd row	CDU
3rd row	CDU
4th row	CDU
5th row	CDU

Common Values

Value	Count	Frequency (%)
SPD	4682	36.1%
CDU	4542	35.0%
FDP	1223	9.4%
CSU	1112	8.6%
Greens	636	4.9%
Left Party/PDS	437	3.4%
other party	225	1.7%
AfD	112	0.9%
unaffiliated	4	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
spd	4682	34.3%
cdu	4542	33.3%
fdp	1223	9.0%
csu	1112	8.2%
greens	636	4.7%
left	437	3.2%
party/pds	437	3.2%
other	225	1.7%
party	225	1.7%
afd	112	0.8%

Most occurring characters

Value	Count	Frequency (%)
D	10996	23.2%
P	6779	14.3%
S	6231	13.1%
C	5654	11.9%
U	5654	11.9%
e	1938	4.1%
r	1523	3.2%
t	1328	2.8%
F	1223	2.6%
a	670	1.4%
Other values (16)	5474	11.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	37722	79.5%
Lowercase Letter	8649	18.2%
Space Separator	662	1.4%
Other Punctuation	437	0.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1938	22.4%
r	1523	17.6%
t	1328	15.4%
a	670	7.7%
y	662	7.7%
n	640	7.4%
s	636	7.4%
f	557	6.4%
o	225	2.6%
h	225	2.6%
Other values (5)	245	2.8%

Uppercase Letter

Value	Count	Frequency (%)
D	10996	29.2%
P	6779	18.0%
S	6231	16.5%
C	5654	15.0%
U	5654	15.0%
F	1223	3.2%
G	636	1.7%
L	437	1.2%
A	112	0.3%

Space Separator

Value	Count	Frequency (%)
	662	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	437	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	46371	97.7%
Common	1099	2.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
D	10996	23.7%
P	6779	14.6%
S	6231	13.4%
C	5654	12.2%
U	5654	12.2%
e	1938	4.2%
r	1523	3.3%
t	1328	2.9%
F	1223	2.6%
a	670	1.4%
Other values (14)	4375	9.4%

Common

Value	Count	Frequency (%)
	662	60.2%
/	437	39.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	47470	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
D	10996	23.2%
P	6779	14.3%
S	6231	13.1%
C	5654	11.9%
U	5654	11.9%
e	1938	4.1%
r	1523	3.2%
t	1328	2.8%
F	1223	2.6%
a	670	1.4%
Other values (16)	5474	11.5%

party_elecdet
Categorical

HIGH CORRELATION

Distinct	19
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	630.8 KiB

SPD (Social Democratic Party of Germany)	4681
CDU (Christian Democratic Union)	4542
FDP (Free Democratic Party)	1203
CSU (Christian Social Union)	1112
Greens	644
Other values (14)	791

Length

Max length	61
Median length	55
Mean length	33.776305
Min length	6

Characters and Unicode

Total characters	438180
Distinct characters	49
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	CDU (Christian Democratic Union)
2nd row	CDU (Christian Democratic Union)
3rd row	CDU (Christian Democratic Union)
4th row	CDU (Christian Democratic Union)
5th row	CDU (Christian Democratic Union)

Common Values

Value	Count	Frequency (%)
SPD (Social Democratic Party of Germany)	4681	36.1%
CDU (Christian Democratic Union)	4542	35.0%
FDP (Free Democratic Party)	1203	9.3%
CSU (Christian Social Union)	1112	8.6%
Greens	644	5.0%
Left/PDS (The Left, previously Party of Democratic Socialism)	437	3.4%
AfD (Alternative für Deutschland)	109	0.8%
DP (German Party)	76	0.6%
GB/BHE (All-German Block/Party of Displaced Persons)	38	0.3%
BP (Bavarian Party)	31	0.2%
Other values (9)	100	0.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
democratic	10866	17.8%
party	6503	10.7%
social	5793	9.5%
christian	5656	9.3%
union	5654	9.3%
of	5176	8.5%
germany	4701	7.7%
spd	4681	7.7%
cdu	4542	7.4%
free	1220	2.0%
Other values (46)	6240	10.2%

Most occurring characters

Value	Count	Frequency (%)
	49262	11.2%
i	35214	8.0%
a	34534	7.9%
r	30528	7.0%
o	28563	6.5%
c	28230	6.4%
t	24370	5.6%
n	22840	5.2%
D	22107	5.0%
e	21731	5.0%
Other values (39)	140801	32.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	282936	64.6%
Uppercase Letter	80300	18.3%
Space Separator	49262	11.2%
Open Punctuation	12326	2.8%
Close Punctuation	12326	2.8%
Other Punctuation	992	0.2%
Dash Punctuation	38	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	35214	12.4%
a	34534	12.2%
r	30528	10.8%
o	28563	10.1%
c	28230	10.0%
t	24370	8.6%
n	22840	8.1%
e	21731	7.7%
m	16185	5.7%
y	11679	4.1%
Other values (13)	29062	10.3%

Uppercase Letter

Value	Count	Frequency (%)
D	22107	27.5%
P	13071	16.3%
S	12475	15.5%
C	11357	14.1%
U	11308	14.1%
G	5503	6.9%
F	2440	3.0%
L	893	1.1%
T	437	0.5%
A	292	0.4%
Other values (9)	417	0.5%

Other Punctuation

Value	Count	Frequency (%)
/	536	54.0%
,	437	44.1%
'	19	1.9%

Space Separator

Value	Count	Frequency (%)
	49262	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	12326	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	12326	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	38	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	363236	82.9%
Common	74944	17.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	35214	9.7%
a	34534	9.5%
r	30528	8.4%
o	28563	7.9%
c	28230	7.8%
t	24370	6.7%
n	22840	6.3%
D	22107	6.1%
e	21731	6.0%
m	16185	4.5%
Other values (32)	98934	27.2%

Common

Value	Count	Frequency (%)
	49262	65.7%
(	12326	16.4%
)	12326	16.4%
/	536	0.7%
,	437	0.6%
-	38	0.1%
'	19	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	438071	> 99.9%
None	109	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	49262	11.2%
i	35214	8.0%
a	34534	7.9%
r	30528	7.0%
o	28563	6.5%
c	28230	6.4%
t	24370	5.6%
n	22840	5.2%
D	22107	5.0%
e	21731	5.0%
Other values (38)	140692	32.1%

None

Value	Count	Frequency (%)
ü	109	100.0%

mandate
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	630.2 KiB

list mandate	7103
district mandate	5870

Length

Max length	16
Median length	12
Mean length	13.809913
Min length	12

Characters and Unicode

Total characters	179156
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	district mandate
2nd row	district mandate
3rd row	district mandate
4th row	district mandate
5th row	district mandate

Common Values

Value	Count	Frequency (%)
list mandate	7103	54.8%
district mandate	5870	45.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
mandate	12973	50.0%
list	7103	27.4%
district	5870	22.6%

Most occurring characters

Value	Count	Frequency (%)
t	31816	17.8%
a	25946	14.5%
i	18843	10.5%
d	18843	10.5%
s	12973	7.2%
	12973	7.2%
m	12973	7.2%
n	12973	7.2%
e	12973	7.2%
l	7103	4.0%
Other values (2)	11740	6.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	166183	92.8%
Space Separator	12973	7.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	31816	19.1%
a	25946	15.6%
i	18843	11.3%
d	18843	11.3%
s	12973	7.8%
m	12973	7.8%
n	12973	7.8%
e	12973	7.8%
l	7103	4.3%
r	5870	3.5%

Space Separator

Value	Count	Frequency (%)
	12973	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	166183	92.8%
Common	12973	7.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	31816	19.1%
a	25946	15.6%
i	18843	11.3%
d	18843	11.3%
s	12973	7.8%
m	12973	7.8%
n	12973	7.8%
e	12973	7.8%
l	7103	4.3%
r	5870	3.5%

Common

Value	Count	Frequency (%)
	12973	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	179156	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	31816	17.8%
a	25946	14.5%
i	18843	10.5%
d	18843	10.5%
s	12973	7.2%
	12973	7.2%
m	12973	7.2%
n	12973	7.2%
e	12973	7.2%
l	7103	4.0%
Other values (2)	11740	6.6%

mandate_detailed
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	630.3 KiB

list mandate (at time of election)	6231
district mandate	5856
replacement mandate from list	727
elected by GDR parliament (only EP 11)	145
by-election (only EP 1)	14

Length

Max length	38
Median length	34
Mean length	25.627457
Min length	16

Characters and Unicode

Total characters	332465
Distinct characters	26
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	district mandate
2nd row	district mandate
3rd row	district mandate
4th row	district mandate
5th row	district mandate

Common Values

Value	Count	Frequency (%)
list mandate (at time of election)	6231	48.0%
district mandate	5856	45.1%
replacement mandate from list	727	5.6%
elected by GDR parliament (only EP 11)	145	1.1%
by-election (only EP 1)	14	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
mandate	12814	24.1%
list	6958	13.1%
at	6231	11.7%
time	6231	11.7%
of	6231	11.7%
election	6231	11.7%
district	5856	11.0%
replacement	727	1.4%
from	727	1.4%
only	159	0.3%
Other values (8)	912	1.7%

Most occurring characters

Value	Count	Frequency (%)
t	51208	15.4%
	40104	12.1%
e	34296	10.3%
a	32876	9.9%
i	31291	9.4%
m	20644	6.2%
n	20090	6.0%
d	18815	5.7%
l	14379	4.3%
o	13362	4.0%
Other values (16)	55400	16.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	278510	83.8%
Space Separator	40104	12.1%
Open Punctuation	6390	1.9%
Close Punctuation	6390	1.9%
Uppercase Letter	753	0.2%
Decimal Number	304	0.1%
Dash Punctuation	14	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	51208	18.4%
e	34296	12.3%
a	32876	11.8%
i	31291	11.2%
m	20644	7.4%
n	20090	7.2%
d	18815	6.8%
l	14379	5.2%
o	13362	4.8%
c	12973	4.7%
Other values (6)	28576	10.3%

Uppercase Letter

Value	Count	Frequency (%)
E	159	21.1%
P	159	21.1%
G	145	19.3%
D	145	19.3%
R	145	19.3%

Space Separator

Value	Count	Frequency (%)
	40104	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	6390	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	6390	100.0%

Decimal Number

Value	Count	Frequency (%)
1	304	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	279263	84.0%
Common	53202	16.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	51208	18.3%
e	34296	12.3%
a	32876	11.8%
i	31291	11.2%
m	20644	7.4%
n	20090	7.2%
d	18815	6.7%
l	14379	5.1%
o	13362	4.8%
c	12973	4.6%
Other values (11)	29329	10.5%

Common

Value	Count	Frequency (%)
	40104	75.4%
(	6390	12.0%
)	6390	12.0%
1	304	0.6%
-	14	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	332465	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	51208	15.4%
	40104	12.1%
e	34296	10.3%
a	32876	9.9%
i	31291	9.4%
m	20644	6.2%
n	20090	6.0%
d	18815	5.7%
l	14379	4.3%
o	13362	4.0%
Other values (16)	55400	16.7%

dualcand
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	630.2 KiB

yes	9455
no	3518

Length

Max length	3
Median length	3
Mean length	2.7288214
Min length	2

Characters and Unicode

Total characters	35401
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	no
2nd row	no
3rd row	no
4th row	no
5th row	no

Common Values

Value	Count	Frequency (%)
yes	9455	72.9%
no	3518	27.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
yes	9455	72.9%
no	3518	27.1%

Most occurring characters

Value	Count	Frequency (%)
y	9455	26.7%
e	9455	26.7%
s	9455	26.7%
n	3518	9.9%
o	3518	9.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	35401	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
y	9455	26.7%
e	9455	26.7%
s	9455	26.7%
n	3518	9.9%
o	3518	9.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	35401	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
y	9455	26.7%
e	9455	26.7%
s	9455	26.7%
n	3518	9.9%
o	3518	9.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	35401	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
y	9455	26.7%
e	9455	26.7%
s	9455	26.7%
n	3518	9.9%
o	3518	9.9%

district_id
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	328
Distinct (%)	2.8%
Missing	1463
Missing (%)	11.3%
Infinite	0
Infinite (%)	0.0%
Mean	138.49557

Minimum	1
Maximum	328
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	718.7 KiB

Quantile statistics

Minimum	1
5-th percentile	14
Q1	69
median	136
Q3	204
95-th percentile	277
Maximum	328
Range	327
Interquartile range (IQR)	135

Descriptive statistics

Standard deviation	81.866602
Coefficient of variation (CV)	0.59111351
Kurtosis	-0.97830045
Mean	138.49557
Median Absolute Deviation (MAD)	67
Skewness	0.15492446
Sum	1594084
Variance	6702.1405
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
188	60	0.5%
69	58	0.4%
100	57	0.4%
140	57	0.4%
131	56	0.4%
97	56	0.4%
10	56	0.4%
163	55	0.4%
141	55	0.4%
78	54	0.4%
Other values (318)	10946	84.4%
(Missing)	1463	11.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	36	0.3%
2	36	0.3%
3	41	0.3%
4	40	0.3%
5	42	0.3%
6	38	0.3%
7	53	0.4%
8	40	0.3%
9	42	0.3%
10	56	0.4%

Value	Count	Frequency (%)
328	10	0.1%
327	5	< 0.1%
326	5	< 0.1%
325	3	< 0.1%
324	6	< 0.1%
323	7	0.1%
322	4	< 0.1%
321	3	< 0.1%
320	5	< 0.1%
319	9	0.1%

districtvote
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	1541
Distinct (%)	24.2%
Missing	6595
Missing (%)	50.8%
Infinite	0
Infinite (%)	0.0%
Mean	0.47831726

Minimum	0.030305019
Maximum	48.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	718.7 KiB

Quantile statistics

Minimum	0.030305019
5-th percentile	0.1693653
Q1	0.415
median	0.478
Q3	0.53735728
95-th percentile	0.647
Maximum	48.9
Range	48.869695
Interquartile range (IQR)	0.12235728

Descriptive statistics

Standard deviation	0.86713661
Coefficient of variation (CV)	1.8128901
Kurtosis	3049.332
Mean	0.47831726
Median Absolute Deviation (MAD)	0.061
Skewness	54.622507
Sum	3050.7075
Variance	0.75192591
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.469	41	0.3%
0.488	40	0.3%
0.486	39	0.3%
0.501	39	0.3%
0.477	38	0.3%
0.483	38	0.3%
0.485	37	0.3%
0.49	37	0.3%
0.479	37	0.3%
0.474	35	0.3%
Other values (1531)	5997	46.2%
(Missing)	6595	50.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.03030501865	1	< 0.1%
0.03500933573	1	< 0.1%
0.03593908623	1	< 0.1%
0.03929926082	1	< 0.1%
0.04234809056	2	< 0.1%
0.04536836222	1	< 0.1%
0.04541448131	1	< 0.1%
0.04542474449	1	< 0.1%
0.04573408887	1	< 0.1%
0.04603046179	2	< 0.1%

Value	Count	Frequency (%)
48.9	2	< 0.1%
0.82	1	< 0.1%
0.819	2	< 0.1%
0.802	1	< 0.1%
0.8	1	< 0.1%
0.796	2	< 0.1%
0.794	1	< 0.1%
0.791	1	< 0.1%
0.777	1	< 0.1%
0.772	2	< 0.1%

closeness_district
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	5388
Distinct (%)	46.8%
Missing	1463
Missing (%)	11.3%
Infinite	0
Infinite (%)	0.0%
Mean	0.15733776

Minimum	0
Maximum	0.74558337
Zeros	3
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	718.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0.011869436
Q1	0.061072528
median	0.12996608
Q3	0.23175901
95-th percentile	0.39154502
Maximum	0.74558337
Range	0.74558337
Interquartile range (IQR)	0.17068648

Descriptive statistics

Standard deviation	0.12078013
Coefficient of variation (CV)	0.76764876
Kurtosis	0.54200946
Mean	0.15733776
Median Absolute Deviation (MAD)	0.079022462
Skewness	0.94542883
Sum	1810.9576
Variance	0.014587841
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.05799999833	13	0.1%
0.201000005	12	0.1%
0.2649999857	11	0.1%
0.04399999976	10	0.1%
0.08600000292	10	0.1%
0.09300000221	10	0.1%
0.003000000026	9	0.1%
0.1770000011	9	0.1%
0.04100000113	9	0.1%
0.1469999999	8	0.1%
Other values (5378)	11409	87.9%
(Missing)	1463	11.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3	< 0.1%
0.0001193295515	2	< 0.1%
0.0001274707415	2	< 0.1%
0.0001554085152	4	< 0.1%
0.0002140987479	1	< 0.1%
0.0002601637297	2	< 0.1%
0.0002954295314	3	< 0.1%
0.0003683995088	2	< 0.1%
0.0004321332064	3	< 0.1%
0.0004407349255	2	< 0.1%

Value	Count	Frequency (%)
0.7455833727	1	< 0.1%
0.7098927795	1	< 0.1%
0.703929966	2	< 0.1%
0.6995185003	1	< 0.1%
0.6926352573	1	< 0.1%
0.6925889467	1	< 0.1%
0.6844805195	2	< 0.1%
0.6800405336	1	< 0.1%
0.6753564507	1	< 0.1%
0.6523922627	2	< 0.1%

list
Categorical

HIGH CORRELATION MISSING

Distinct	19
Distinct (%)	0.2%
Missing	2195
Missing (%)	16.9%
Memory size	630.8 KiB

Nordrhein-Westfalen	2641
Bayern	1448
Niedersachsen	1292
Baden-Württemberg	1103
Hessen	1027
Other values (14)	3267

Length

Max length	36
Median length	29
Mean length	12.849137
Min length	6

Characters and Unicode

Total characters	138488
Distinct characters	40
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Nordrhein-Westfalen
2nd row	Nordrhein-Westfalen
3rd row	Nordrhein-Westfalen
4th row	Nordrhein-Westfalen
5th row	Nordrhein-Westfalen

Common Values

Value	Count	Frequency (%)
Nordrhein-Westfalen	2641	20.4%
Bayern	1448	11.2%
Niedersachsen	1292	10.0%
Baden-Württemberg	1103	8.5%
Hessen	1027	7.9%
Rheinland-Pfalz	606	4.7%
Berlin	514	4.0%
Schleswig-Holstein	481	3.7%
Hamburg	335	2.6%
Sachsen	271	2.1%
Other values (9)	1060	8.2%
(Missing)	2195	16.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nordrhein-westfalen	2641	24.2%
bayern	1448	13.3%
niedersachsen	1292	11.8%
baden-württemberg	1103	10.1%
hessen	1027	9.4%
rheinland-pfalz	606	5.6%
berlin	514	4.7%
schleswig-holstein	481	4.4%
hamburg	335	3.1%
sachsen	271	2.5%
Other values (12)	1186	10.9%

Most occurring characters

Value	Count	Frequency (%)
e	22288	16.1%
n	14455	10.4%
r	12417	9.0%
a	9487	6.9%
s	8715	6.3%
i	6206	4.5%
d	6057	4.4%
h	5895	4.3%
l	5894	4.3%
t	5603	4.0%
Other values (30)	41471	29.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	116986	84.5%
Uppercase Letter	16056	11.6%
Dash Punctuation	5194	3.8%
Space Separator	126	0.1%
Open Punctuation	42	< 0.1%
Decimal Number	42	< 0.1%
Close Punctuation	42	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	22288	19.1%
n	14455	12.4%
r	12417	10.6%
a	9487	8.1%
s	8715	7.4%
i	6206	5.3%
d	6057	5.2%
h	5895	5.0%
l	5894	5.0%
t	5603	4.8%
Other values (13)	19969	17.1%

Uppercase Letter

Value	Count	Frequency (%)
N	3933	24.5%
W	3780	23.5%
B	3418	21.3%
H	1850	11.5%
S	1137	7.1%
P	648	4.0%
R	606	3.8%
A	203	1.3%
T	191	1.2%
M	124	0.8%
Other values (2)	166	1.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5194	100.0%

Space Separator

Value	Count	Frequency (%)
	126	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	42	100.0%

Decimal Number

Value	Count	Frequency (%)
1	42	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	42	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	133042	96.1%
Common	5446	3.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	22288	16.8%
n	14455	10.9%
r	12417	9.3%
a	9487	7.1%
s	8715	6.6%
i	6206	4.7%
d	6057	4.6%
h	5895	4.4%
l	5894	4.4%
t	5603	4.2%
Other values (25)	36025	27.1%

Common

Value	Count	Frequency (%)
-	5194	95.4%
	126	2.3%
(	42	0.8%
1	42	0.8%
)	42	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	137158	99.0%
None	1330	1.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	22288	16.2%
n	14455	10.5%
r	12417	9.1%
a	9487	6.9%
s	8715	6.4%
i	6206	4.5%
d	6057	4.4%
h	5895	4.3%
l	5894	4.3%
t	5603	4.1%
Other values (29)	40141	29.3%

None

Value	Count	Frequency (%)
ü	1330	100.0%

listpos
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	89
Distinct (%)	0.9%
Missing	2511
Missing (%)	19.4%
Infinite	0
Infinite (%)	0.0%
Mean	12.20866

Minimum	1
Maximum	94
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	718.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	7
Q3	16
95-th percentile	42
Maximum	94
Range	93
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	13.629584
Coefficient of variation (CV)	1.1163866
Kurtosis	5.5459727
Mean	12.20866
Median Absolute Deviation (MAD)	5
Skewness	2.1875291
Sum	127727
Variance	185.76556
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1103	8.5%
2	969	7.5%
3	849	6.5%
4	734	5.7%
5	636	4.9%
6	548	4.2%
7	470	3.6%
8	420	3.2%
9	382	2.9%
10	341	2.6%
Other values (79)	4010	30.9%
(Missing)	2511	19.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1103	8.5%
2	969	7.5%
3	849	6.5%
4	734	5.7%
5	636	4.9%
6	548	4.2%
7	470	3.6%
8	420	3.2%
9	382	2.9%
10	341	2.6%

Value	Count	Frequency (%)
94	1	< 0.1%
89	2	< 0.1%
88	2	< 0.1%
87	2	< 0.1%
86	3	< 0.1%
85	1	< 0.1%
84	2	< 0.1%
83	1	< 0.1%
81	4	< 0.1%
80	4	< 0.1%

listpos_total
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	107
Distinct (%)	1.0%
Missing	2623
Missing (%)	20.2%
Infinite	0
Infinite (%)	0.0%
Mean	51.234879

Minimum	3
Maximum	152
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	718.7 KiB

Quantile statistics

Minimum	3
5-th percentile	11
Q1	28
median	47
Q3	70
95-th percentile	115
Maximum	152
Range	149
Interquartile range (IQR)	42

Descriptive statistics

Standard deviation	30.36002
Coefficient of variation (CV)	0.59256546
Kurtosis	0.34193372
Mean	51.234879
Median Absolute Deviation (MAD)	21
Skewness	0.7905838
Sum	530281
Variance	921.7308
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	314	2.4%
89	296	2.3%
80	250	1.9%
63	248	1.9%
40	242	1.9%
36	240	1.8%
60	222	1.7%
30	209	1.6%
12	204	1.6%
25	201	1.5%
Other values (97)	7924	61.1%
(Missing)	2623	20.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	2	< 0.1%
4	11	0.1%
5	40	0.3%
6	79	0.6%
7	64	0.5%
8	54	0.4%
9	58	0.4%
10	175	1.3%
11	84	0.6%
12	204	1.6%

Value	Count	Frequency (%)
152	47	0.4%
151	47	0.4%
136	30	0.2%
124	34	0.3%
123	66	0.5%
122	28	0.2%
121	35	0.3%
120	45	0.3%
118	51	0.4%
117	51	0.4%

elecsafe_district
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	9278
Distinct (%)	82.9%
Missing	1782
Missing (%)	13.7%
Infinite	0
Infinite (%)	0.0%
Mean	0.43916823

Minimum	0
Maximum	1
Zeros	807
Zeros (%)	6.2%
Negative	0
Negative (%)	0.0%
Memory size	668.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.0039665741
median	0.35896128
Q3	0.91455752
95-th percentile	0.9993403
Maximum	1
Range	1
Interquartile range (IQR)	0.91059094

Descriptive statistics

Standard deviation	0.41475403
Coefficient of variation (CV)	0.9444081
Kurtosis	-1.6963851
Mean	0.43916823
Median Absolute Deviation (MAD)	0.35881037
Skewness	0.20208889
Sum	4914.7316
Variance	0.17202091
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	807	6.2%
1	8	0.1%
0.003976718057	5	< 0.1%
0.05346974358	5	< 0.1%
0.9727668166	5	< 0.1%
0.9980874658	4	< 0.1%
0.002155815251	4	< 0.1%
0.9959763288	4	< 0.1%
0.0288213715	4	< 0.1%
0.9615659118	4	< 0.1%
Other values (9268)	10341	79.7%
(Missing)	1782	13.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	807	6.2%
6.104203243 × 10^-14	1	< 0.1%
3.020422725 × 10^-13	1	< 0.1%
1.425204139 × 10^-12	1	< 0.1%
3.230485541 × 10^-12	1	< 0.1%
4.112940457 × 10^-12	1	< 0.1%
4.75785817 × 10^-12	1	< 0.1%
9.232057827 × 10^-12	1	< 0.1%
9.885444026 × 10^-12	1	< 0.1%
1.069227692 × 10^-11	1	< 0.1%

Value	Count	Frequency (%)
1	8	0.1%
0.9999999404	3	< 0.1%
0.9999998808	2	< 0.1%
0.9999998212	1	< 0.1%
0.9999997616	1	< 0.1%
0.999999702	1	< 0.1%
0.9999996424	1	< 0.1%
0.9999995828	2	< 0.1%
0.9999995232	1	< 0.1%
0.9999989867	1	< 0.1%

elecsafe_list
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	7166
Distinct (%)	64.0%
Missing	1782
Missing (%)	13.7%
Infinite	0
Infinite (%)	0.0%
Mean	0.59242183

Minimum	0
Maximum	1
Zeros	1695
Zeros (%)	13.1%
Negative	0
Negative (%)	0.0%
Memory size	668.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.044417255
median	0.80111861
Q3	0.99900234
95-th percentile	1
Maximum	1
Range	1
Interquartile range (IQR)	0.95458508

Descriptive statistics

Standard deviation	0.42692509
Coefficient of variation (CV)	0.72064376
Kurtosis	-1.6267219
Mean	0.59242183
Median Absolute Deviation (MAD)	0.19888139
Skewness	-0.39255357
Sum	6629.7927
Variance	0.18226503
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1695	13.1%
1	844	6.5%
0.9999999404	123	0.9%
0.9999998808	63	0.5%
0.9999997616	31	0.2%
0.999999702	29	0.2%
0.9999998212	27	0.2%
0.9999995828	19	0.1%
0.9999993443	18	0.1%
0.9999994636	16	0.1%
Other values (7156)	8326	64.2%
(Missing)	1782	13.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1695	13.1%
2.851232855 × 10^-22	1	< 0.1%
1.833519175 × 10^-20	1	< 0.1%
2.229652158 × 10^-19	1	< 0.1%
5.127287816 × 10^-19	1	< 0.1%
6.314920135 × 10^-19	1	< 0.1%
6.235041785 × 10^-18	1	< 0.1%
1.382694763 × 10^-17	1	< 0.1%
2.558271938 × 10^-17	1	< 0.1%
6.395317127 × 10^-17	1	< 0.1%

Value	Count	Frequency (%)
1	844	6.5%
0.9999999404	123	0.9%
0.9999998808	63	0.5%
0.9999998212	27	0.2%
0.9999997616	31	0.2%
0.999999702	29	0.2%
0.9999996424	15	0.1%
0.9999995828	19	0.1%
0.9999995232	11	0.1%
0.9999994636	16	0.1%

elecsafe_overall
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	8421
Distinct (%)	75.2%
Missing	1782
Missing (%)	13.7%
Infinite	0
Infinite (%)	0.0%
Mean	0.85927793

Minimum	1.0863167 × 10^-12
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	668.1 KiB

Quantile statistics

Minimum	1.0863167 × 10^-12
5-th percentile	0.24567127
Q1	0.82629907
median	0.98726839
Q3	0.9998078
95-th percentile	1
Maximum	1
Range	1
Interquartile range (IQR)	0.17350873

Descriptive statistics

Standard deviation	0.24006955
Coefficient of variation (CV)	0.27938522
Kurtosis	3.0943737
Mean	0.85927793
Median Absolute Deviation (MAD)	0.012731612
Skewness	-1.9851635
Sum	9616.1793
Variance	0.057633393
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	936	7.2%
0.9999999404	150	1.2%
0.9999998808	71	0.5%
0.9999997616	34	0.3%
0.9999998212	32	0.2%
0.999999702	30	0.2%
0.9999995828	25	0.2%
0.9999996424	19	0.1%
0.9999989271	17	0.1%
0.9999992847	16	0.1%
Other values (8411)	9861	76.0%
(Missing)	1782	13.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.086316692 × 10^-12	1	< 0.1%
2.639846952 × 10^-10	1	< 0.1%
8.444628885 × 10^-10	1	< 0.1%
1.027684049 × 10^-9	1	< 0.1%
1.373900105 × 10^-9	1	< 0.1%
3.495790324 × 10^-9	1	< 0.1%
1.447138764 × 10^-8	1	< 0.1%
2.614445904 × 10^-8	1	< 0.1%
1.23955644 × 10^-7	1	< 0.1%
1.857931551 × 10^-7	1	< 0.1%

Value	Count	Frequency (%)
1	936	7.2%
0.9999999404	150	1.2%
0.9999998808	71	0.5%
0.9999998212	32	0.2%
0.9999997616	34	0.3%
0.999999702	30	0.2%
0.9999996424	19	0.1%
0.9999995828	25	0.2%
0.9999995232	16	0.1%
0.9999994636	16	0.1%

minister
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	630.2 KiB

no	12565
yes	408

Length

Max length	3
Median length	2
Mean length	2.0314499
Min length	2

Characters and Unicode

Total characters	26354
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	no
2nd row	no
3rd row	no
4th row	no
5th row	no

Common Values

Value	Count	Frequency (%)
no	12565	96.9%
yes	408	3.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	12565	96.9%
yes	408	3.1%

Most occurring characters

Value	Count	Frequency (%)
n	12565	47.7%
o	12565	47.7%
y	408	1.5%
e	408	1.5%
s	408	1.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	26354	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	12565	47.7%
o	12565	47.7%
y	408	1.5%
e	408	1.5%
s	408	1.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26354	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	12565	47.7%
o	12565	47.7%
y	408	1.5%
e	408	1.5%
s	408	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26354	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	12565	47.7%
o	12565	47.7%
y	408	1.5%
e	408	1.5%
s	408	1.5%

junminister
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	630.2 KiB

no	12486
yes	487

Length

Max length	3
Median length	2
Mean length	2.0375395
Min length	2

Characters and Unicode

Total characters	26433
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	no
2nd row	no
3rd row	no
4th row	no
5th row	no

Common Values

Value	Count	Frequency (%)
no	12486	96.2%
yes	487	3.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	12486	96.2%
yes	487	3.8%

Most occurring characters

Value	Count	Frequency (%)
n	12486	47.2%
o	12486	47.2%
y	487	1.8%
e	487	1.8%
s	487	1.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	26433	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	12486	47.2%
o	12486	47.2%
y	487	1.8%
e	487	1.8%
s	487	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26433	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	12486	47.2%
o	12486	47.2%
y	487	1.8%
e	487	1.8%
s	487	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26433	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	12486	47.2%
o	12486	47.2%
y	487	1.8%
e	487	1.8%
s	487	1.8%

parlpres
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	630.2 KiB

no	12843
yes	130

Length

Max length	3
Median length	2
Mean length	2.0100208
Min length	2

Characters and Unicode

Total characters	26076
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	no
2nd row	no
3rd row	no
4th row	no
5th row	no

Common Values

Value	Count	Frequency (%)
no	12843	99.0%
yes	130	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	12843	99.0%
yes	130	1.0%

Most occurring characters

Value	Count	Frequency (%)
n	12843	49.3%
o	12843	49.3%
y	130	0.5%
e	130	0.5%
s	130	0.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	26076	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	12843	49.3%
o	12843	49.3%
y	130	0.5%
e	130	0.5%
s	130	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26076	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	12843	49.3%
o	12843	49.3%
y	130	0.5%
e	130	0.5%
s	130	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26076	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	12843	49.3%
o	12843	49.3%
y	130	0.5%
e	130	0.5%
s	130	0.5%

commchair
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	630.2 KiB

no	11822
yes	1151

Length

Max length	3
Median length	2
Mean length	2.0887227
Min length	2

Characters and Unicode

Total characters	27097
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	no
2nd row	no
3rd row	no
4th row	no
5th row	no

Common Values

Value	Count	Frequency (%)
no	11822	91.1%
yes	1151	8.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	11822	91.1%
yes	1151	8.9%

Most occurring characters

Value	Count	Frequency (%)
n	11822	43.6%
o	11822	43.6%
y	1151	4.2%
e	1151	4.2%
s	1151	4.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	27097	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	11822	43.6%
o	11822	43.6%
y	1151	4.2%
e	1151	4.2%
s	1151	4.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	27097	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	11822	43.6%
o	11822	43.6%
y	1151	4.2%
e	1151	4.2%
s	1151	4.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	27097	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	11822	43.6%
o	11822	43.6%
y	1151	4.2%
e	1151	4.2%
s	1151	4.2%

ppgchair
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	630.2 KiB

no	12225
yes	748

Length

Max length	3
Median length	2
Mean length	2.0576582
Min length	2

Characters and Unicode

Total characters	26694
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	no
2nd row	no
3rd row	no
4th row	no
5th row	no

Common Values

Value	Count	Frequency (%)
no	12225	94.2%
yes	748	5.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	12225	94.2%
yes	748	5.8%

Most occurring characters

Value	Count	Frequency (%)
n	12225	45.8%
o	12225	45.8%
y	748	2.8%
e	748	2.8%
s	748	2.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	26694	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	12225	45.8%
o	12225	45.8%
y	748	2.8%
e	748	2.8%
s	748	2.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26694	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	12225	45.8%
o	12225	45.8%
y	748	2.8%
e	748	2.8%
s	748	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26694	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	12225	45.8%
o	12225	45.8%
y	748	2.8%
e	748	2.8%
s	748	2.8%

whip
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	630.2 KiB

no	12599
yes	374

Length

Max length	3
Median length	2
Mean length	2.0288291
Min length	2

Characters and Unicode

Total characters	26320
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	no
2nd row	no
3rd row	no
4th row	no
5th row	no

Common Values

Value	Count	Frequency (%)
no	12599	97.1%
yes	374	2.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	12599	97.1%
yes	374	2.9%

Most occurring characters

Value	Count	Frequency (%)
n	12599	47.9%
o	12599	47.9%
y	374	1.4%
e	374	1.4%
s	374	1.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	26320	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	12599	47.9%
o	12599	47.9%
y	374	1.4%
e	374	1.4%
s	374	1.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26320	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	12599	47.9%
o	12599	47.9%
y	374	1.4%
e	374	1.4%
s	374	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26320	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	12599	47.9%
o	12599	47.9%
y	374	1.4%
e	374	1.4%
s	374	1.4%

partyid_cmp
Real number (ℝ)

HIGH CORRELATION

Distinct	18
Distinct (%)	0.1%
Missing	33
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	41415.326

Minimum	41111
Maximum	41953
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	718.7 KiB

Quantile statistics

Minimum	41111
5-th percentile	41220
Q1	41320
median	41420
Q3	41521
95-th percentile	41521
Maximum	41953
Range	842
Interquartile range (IQR)	201

Descriptive statistics

Standard deviation	135.56217
Coefficient of variation (CV)	0.0032732368
Kurtosis	2.0056342
Mean	41415.326
Median Absolute Deviation (MAD)	101
Skewness	0.31235453
Sum	5.3591432 × 10⁸
Variance	18377.101
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
41521	5654	43.6%
41320	4682	36.1%
41420	1220	9.4%
41113	469	3.6%
41222	221	1.7%
41111	164	1.3%
41221	112	0.9%
41953	112	0.9%
41223	80	0.6%
41620	76	0.6%
Other values (8)	150	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
41111	164	1.3%
41112	11	0.1%
41113	469	3.6%
41220	20	0.2%
41221	112	0.9%
41222	221	1.7%
41223	80	0.6%
41320	4682	36.1%
41420	1220	9.4%
41521	5654	43.6%

Value	Count	Frequency (%)
41953	112	0.9%
41951	38	0.3%
41912	1	< 0.1%
41911	31	0.2%
41712	6	< 0.1%
41711	19	0.1%
41620	76	0.6%
41522	24	0.2%
41521	5654	43.6%
41420	1220	9.4%

partyid_ches
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	7
Distinct (%)	0.2%
Missing	8462
Missing (%)	65.2%
Infinite	0
Infinite (%)	0.0%
Mean	302.9335

Minimum	301
Maximum	310
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	668.1 KiB

Quantile statistics

Minimum	301
5-th percentile	301
Q1	301
median	302
Q3	304
95-th percentile	308
Maximum	310
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.3605237
Coefficient of variation (CV)	0.0077922175
Kurtosis	1.0486686
Mean	302.9335
Median Absolute Deviation (MAD)	1
Skewness	1.4316275
Sum	1366533
Variance	5.5720725
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
302	1473	11.4%
301	1430	11.0%
304	419	3.2%
303	371	2.9%
308	356	2.7%
306	350	2.7%
310	112	0.9%
(Missing)	8462	65.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
301	1430	11.0%
302	1473	11.4%
303	371	2.9%
304	419	3.2%
306	350	2.7%
308	356	2.7%
310	112	0.9%

Value	Count	Frequency (%)
310	112	0.9%
308	356	2.7%
306	350	2.7%
304	419	3.2%
303	371	2.9%
302	1473	11.4%
301	1430	11.0%

partyid_bl
Categorical

HIGH CORRELATION MISSING

Distinct	5
Distinct (%)	0.8%
Missing	12320
Missing (%)	95.0%
Memory size	718.7 KiB

307.0	266
44.0	266
135.0	61
122.0	58
249.0	2

Length

Max length	5
Median length	5
Mean length	4.5926493
Min length	4

Characters and Unicode

Total characters	2999
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	307.0
2nd row	307.0
3rd row	307.0
4th row	44.0
5th row	307.0

Common Values

Value	Count	Frequency (%)
307.0	266	2.1%
44.0	266	2.1%
135.0	61	0.5%
122.0	58	0.4%
249.0	2	< 0.1%
(Missing)	12320	95.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
307.0	266	40.7%
44.0	266	40.7%
135.0	61	9.3%
122.0	58	8.9%
249.0	2	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	919	30.6%
.	653	21.8%
4	534	17.8%
3	327	10.9%
7	266	8.9%
1	119	4.0%
2	118	3.9%
5	61	2.0%
9	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2346	78.2%
Other Punctuation	653	21.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	919	39.2%
4	534	22.8%
3	327	13.9%
7	266	11.3%
1	119	5.1%
2	118	5.0%
5	61	2.6%
9	2	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	653	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2999	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	919	30.6%
.	653	21.8%
4	534	17.8%
3	327	10.9%
7	266	8.9%
1	119	4.0%
2	118	3.9%
5	61	2.0%
9	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2999	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	919	30.6%
.	653	21.8%
4	534	17.8%
3	327	10.9%
7	266	8.9%
1	119	4.0%
2	118	3.9%
5	61	2.0%
9	2	0.1%

partyid_parlgov
Real number (ℝ)

HIGH CORRELATION

Distinct	13
Distinct (%)	0.1%
Missing	10
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	1106.2759

Minimum	137
Maximum	2253
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	668.1 KiB

Quantile statistics

Minimum	137
5-th percentile	543
Q1	558
median	772
Q3	1727
95-th percentile	1727
Maximum	2253
Range	2116
Interquartile range (IQR)	1169

Descriptive statistics

Standard deviation	574.51495
Coefficient of variation (CV)	0.51932341
Kurtosis	-1.8537446
Mean	1106.2759
Median Absolute Deviation (MAD)	229
Skewness	0.1903161
Sum	14340654
Variance	330067.41
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
1727	5654	43.6%
558	4682	36.1%
543	1220	9.4%
772	644	5.0%
791	437	3.4%
2253	112	0.9%
912	76	0.6%
1507	38	0.3%
1131	31	0.2%
137	24	0.2%
Other values (3)	45	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
137	24	0.2%
187	6	< 0.1%
543	1220	9.4%
558	4682	36.1%
649	20	0.2%
772	644	5.0%
791	437	3.4%
912	76	0.6%
1131	31	0.2%
1420	19	0.1%

Value	Count	Frequency (%)
2253	112	0.9%
1727	5654	43.6%
1507	38	0.3%
1420	19	0.1%
1131	31	0.2%
912	76	0.6%
791	437	3.4%
772	644	5.0%
649	20	0.2%
558	4682	36.1%

partyid_parlgov2
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	8
Distinct (%)	0.1%
Missing	6299
Missing (%)	48.6%
Infinite	0
Infinite (%)	0.0%
Mean	870.17651

Minimum	358
Maximum	2253
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	668.1 KiB

Quantile statistics

Minimum	358
5-th percentile	558
Q1	808
median	808
Q3	808
95-th percentile	1180
Maximum	2253
Range	1895
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	245.48076
Coefficient of variation (CV)	0.28210456
Kurtosis	14.62143
Mean	870.17651
Median Absolute Deviation (MAD)	0
Skewness	3.1188731
Sum	5807558
Variance	60260.801
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
808	4542	35.0%
1180	1112	8.6%
558	477	3.7%
772	160	1.2%
791	159	1.2%
2253	112	0.9%
543	95	0.7%
358	17	0.1%
(Missing)	6299	48.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
358	17	0.1%
543	95	0.7%
558	477	3.7%
772	160	1.2%
791	159	1.2%
808	4542	35.0%
1180	1112	8.6%
2253	112	0.9%

Value	Count	Frequency (%)
2253	112	0.9%
1180	1112	8.6%
808	4542	35.0%
791	159	1.2%
772	160	1.2%
558	477	3.7%
543	95	0.7%
358	17	0.1%

id_de_parliament_string
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	4098
Distinct (%)	31.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11009738

Minimum	11000001
Maximum	66666664
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	718.7 KiB

Quantile statistics

Minimum	11000001
5-th percentile	11000197
Q1	11000958
median	11001888
Q3	11002808
95-th percentile	11004297
Maximum	66666664
Range	55666663
Interquartile range (IQR)	1850

Descriptive statistics

Standard deviation	625963.25
Coefficient of variation (CV)	0.056855415
Kurtosis	6795.3146
Mean	11009738
Median Absolute Deviation (MAD)	926
Skewness	81.983015
Sum	1.4282934 × 10¹¹
Variance	3.9182999 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11001938	18	0.1%
11002531	17	0.1%
11001012	17	0.1%
11001512	16	0.1%
11000102	15	0.1%
11002525	14	0.1%
11001849	14	0.1%
11002270	14	0.1%
11000570	14	0.1%
11002444	13	0.1%
Other values (4088)	12821	98.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
11000001	7	0.1%
11000002	6	< 0.1%
11000003	3	< 0.1%
11000004	2	< 0.1%
11000005	5	< 0.1%
11000007	4	< 0.1%
11000008	1	< 0.1%
11000009	7	0.1%
11000010	4	< 0.1%
11000011	4	< 0.1%

Value	Count	Frequency (%)
66666664	1	< 0.1%
55555556	1	< 0.1%
11004972	1	< 0.1%
11004971	1	< 0.1%
11004970	1	< 0.1%
11004969	1	< 0.1%
11004968	1	< 0.1%
11004967	1	< 0.1%
11004966	1	< 0.1%
11004962	1	< 0.1%

mp_id_old
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	3588
Distinct (%)	31.9%
Missing	1735
Missing (%)	13.4%
Infinite	0
Infinite (%)	0.0%
Mean	66605.833

Minimum	10
Maximum	182832
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	718.7 KiB

Quantile statistics

Minimum	10
5-th percentile	1143
Q1	6171
median	71153.5
Q3	121739
95-th percentile	162679.3
Maximum	182832
Range	182822
Interquartile range (IQR)	115568

Descriptive statistics

Standard deviation	60465.146
Coefficient of variation (CV)	0.90780557
Kurtosis	-1.4593544
Mean	66605.833
Median Absolute Deviation (MAD)	62589.5
Skewness	0.25193154
Sum	7.4851635 × 10⁸
Variance	3.6560339 × 10⁹
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4307	17	0.1%
10756	17	0.1%
6475	16	0.1%
70012	15	0.1%
397	15	0.1%
9654	14	0.1%
2414	14	0.1%
10700	14	0.1%
9703	13	0.1%
7880	13	0.1%
Other values (3578)	11090	85.5%
(Missing)	1735	13.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	7	0.1%
14	6	< 0.1%
19	3	< 0.1%
25	4	< 0.1%
26	1	< 0.1%
30	7	0.1%
34	4	< 0.1%
37	1	< 0.1%
46	1	< 0.1%
51	1	< 0.1%

Value	Count	Frequency (%)
182832	1	< 0.1%
182828	1	< 0.1%
182803	1	< 0.1%
182787	1	< 0.1%
182781	3	< 0.1%
182773	3	< 0.1%
182771	1	< 0.1%
182734	4	< 0.1%
182733	1	< 0.1%
182686	2	< 0.1%

pers_id_pdbd
Text

Distinct	4072
Distinct (%)	31.4%
Missing	0
Missing (%)	0.0%
Memory size	718.7 KiB

Length

Max length	33
Median length	30
Mean length	21.833269
Min length	0

Characters and Unicode

Total characters	283243
Distinct characters	63
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1252 ?
Unique (%)	9.7%

Sample

1st row	DE_Abelein_Manfred_1930
2nd row	DE_Abelein_Manfred_1930
3rd row	DE_Abelein_Manfred_1930
4th row	DE_Abelein_Manfred_1930
5th row	DE_Abelein_Manfred_1930

Value	Count	Frequency (%)
de_schaeuble_wolfgang_1942	18	0.1%
de_wischnewski_hans_1922	17	0.1%
de_jahn_gerhard_1927	17	0.1%
de_mischnick_wolfgang_1921	16	0.1%
de_barzel_rainer_1924	15	0.1%
de_windelen_heinrich_1921	14	0.1%
de_riesenhuber_heinz_1935	14	0.1%
de_franke_egon_1913	14	0.1%
de_strauss_franz_1915	14	0.1%
de_wehner_herbert_1906	13	0.1%
Other values (4061)	12758	98.8%

Most occurring characters

Value	Count	Frequency (%)
_	38730	13.7%
e	22255	7.9%
r	16450	5.8%
1	15366	5.4%
9	14162	5.0%
E	14083	5.0%
D	13650	4.8%
a	12462	4.4%
n	12212	4.3%
i	9768	3.4%
Other values (53)	114105	40.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	141210	49.9%
Decimal Number	51651	18.2%
Uppercase Letter	51641	18.2%
Connector Punctuation	38730	13.7%
Dash Punctuation	11	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	22255	15.8%
r	16450	11.6%
a	12462	8.8%
n	12212	8.6%
i	9768	6.9%
l	8938	6.3%
t	8298	5.9%
h	6748	4.8%
s	6388	4.5%
o	6117	4.3%
Other values (16)	31574	22.4%

Uppercase Letter

Value	Count	Frequency (%)
E	14083	27.3%
D	13650	26.4%
H	3119	6.0%
S	2268	4.4%
K	2068	4.0%
W	1855	3.6%
M	1789	3.5%
B	1665	3.2%
G	1463	2.8%
R	1416	2.7%
Other values (15)	8265	16.0%

Decimal Number

Value	Count	Frequency (%)
1	15366	29.7%
9	14162	27.4%
4	3799	7.4%
3	3114	6.0%
2	3062	5.9%
5	3055	5.9%
8	2417	4.7%
0	2416	4.7%
6	2356	4.6%
7	1904	3.7%

Connector Punctuation

Value	Count	Frequency (%)
_	38730	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	192851	68.1%
Common	90392	31.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	22255	11.5%
r	16450	8.5%
E	14083	7.3%
D	13650	7.1%
a	12462	6.5%
n	12212	6.3%
i	9768	5.1%
l	8938	4.6%
t	8298	4.3%
h	6748	3.5%
Other values (41)	67987	35.3%

Common

Value	Count	Frequency (%)
_	38730	42.8%
1	15366	17.0%
9	14162	15.7%
4	3799	4.2%
3	3114	3.4%
2	3062	3.4%
5	3055	3.4%
8	2417	2.7%
0	2416	2.7%
6	2356	2.6%
Other values (2)	1915	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	283243	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
_	38730	13.7%
e	22255	7.9%
r	16450	5.8%
1	15366	5.4%
9	14162	5.0%
E	14083	5.0%
D	13650	4.8%
a	12462	4.4%
n	12212	4.3%
i	9768	3.4%
Other values (53)	114105	40.3%

id_de_manow
Text

Distinct	3824
Distinct (%)	29.5%
Missing	0
Missing (%)	0.0%
Memory size	718.7 KiB

Length

Max length	13
Median length	12
Mean length	4.9412626
Min length	0

Characters and Unicode

Total characters	64103
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1032 ?
Unique (%)	8.0%

Sample

1st row	10
2nd row	10
3rd row	10
4th row	10
5th row	10

Value	Count	Frequency (%)
70012	18	0.1%
4307	17	0.1%
10756	17	0.1%
6475	16	0.1%
397	15	0.1%
10700	14	0.1%
7880	14	0.1%
2414	14	0.1%
9654	14	0.1%
70397	13	0.1%
Other values (3813)	12478	98.8%

Most occurring characters

Value	Count	Frequency (%)
1	13931	21.7%
2	7338	11.4%
0	7231	11.3%
3	5810	9.1%
7	5568	8.7%
8	5238	8.2%
6	4812	7.5%
4	4777	7.5%
9	4689	7.3%
5	4636	7.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64030	99.9%
Other Punctuation	73	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	13931	21.8%
2	7338	11.5%
0	7231	11.3%
3	5810	9.1%
7	5568	8.7%
8	5238	8.2%
6	4812	7.5%
4	4777	7.5%
9	4689	7.3%
5	4636	7.2%

Other Punctuation

Value	Count	Frequency (%)
;	73	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64103	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	13931	21.7%
2	7338	11.4%
0	7231	11.3%
3	5810	9.1%
7	5568	8.7%
8	5238	8.2%
6	4812	7.5%
4	4777	7.5%
9	4689	7.3%
5	4636	7.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64103	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	13931	21.7%
2	7338	11.4%
0	7231	11.3%
3	5810	9.1%
7	5568	8.7%
8	5238	8.2%
6	4812	7.5%
4	4777	7.5%
9	4689	7.3%
5	4636	7.2%

Auto

Heatmap
Table

	id_de_parliament	elecper	year_birth	district_id	districtvote	closeness_district	listpos	listpos_total	elecsafe_district	elecsafe_list	elecsafe_overall	partyid_cmp	partyid_ches	partyid_parlgov	partyid_parlgov2	id_de_parliament_string	mp_id_old	gender	office_spell	party_elec	party_elecdet	mandate	mandate_detailed	dualcand	list	minister	junminister	parlpres	commchair	ppgchair	whip	partyid_bl
id_de_parliament	1.000	0.642	0.623	0.077	-0.416	-0.013	-0.054	-0.180	-0.060	-0.146	-0.258	-0.112	0.126	0.024	-0.276	1.000	0.620	0.000	0.000	0.000	0.000	0.000	0.000	0.009	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000
elecper	0.642	1.000	0.921	0.140	-0.414	-0.021	-0.112	-0.204	-0.001	-0.119	-0.185	-0.129	0.077	0.054	-0.302	0.642	0.759	0.289	0.069	0.187	0.183	0.056	0.220	0.272	0.126	0.051	0.100	0.000	0.086	0.040	0.032	1.000
year_birth	0.623	0.921	1.000	0.158	-0.385	-0.019	-0.066	-0.230	-0.039	-0.154	-0.243	-0.158	0.099	0.034	-0.270	0.623	0.759	0.316	0.023	0.162	0.166	0.052	0.072	0.237	0.121	0.070	0.103	0.063	0.112	0.032	0.060	0.087
district_id	0.077	0.140	0.158	1.000	0.029	0.222	-0.035	-0.052	0.034	-0.071	0.069	0.047	0.152	0.082	0.301	0.077	0.141	0.075	0.000	0.225	0.222	0.008	0.014	0.180	0.641	0.036	0.022	0.030	0.032	0.024	0.033	0.031
districtvote	-0.416	-0.414	-0.385	0.029	1.000	0.571	0.193	0.377	0.771	-0.307	0.487	0.183	-0.122	0.175	0.474	-0.416	-0.236	0.000	0.000	0.026	0.014	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000
closeness_district	-0.013	-0.021	-0.019	0.222	0.571	1.000	0.026	0.034	0.105	-0.166	0.193	0.087	0.229	0.099	0.205	-0.013	-0.106	0.051	0.000	0.118	0.112	0.062	0.036	0.275	0.139	0.045	0.004	0.000	0.041	0.000	0.000	0.000
listpos	-0.054	-0.112	-0.066	-0.035	0.193	0.026	1.000	0.582	0.108	-0.278	-0.158	0.074	-0.210	0.074	0.175	-0.054	-0.020	0.124	0.058	0.148	0.129	0.223	0.166	0.115	0.202	0.123	0.061	0.069	0.042	0.149	0.079	0.172
listpos_total	-0.180	-0.204	-0.230	-0.052	0.377	0.034	0.582	1.000	0.121	0.231	0.337	0.155	-0.206	0.037	0.235	-0.180	-0.262	0.145	0.019	0.271	0.230	0.166	0.098	0.156	0.393	0.070	0.051	0.037	0.021	0.041	0.046	0.306
elecsafe_district	-0.060	-0.001	-0.039	0.034	0.771	0.105	0.108	0.121	1.000	-0.424	0.248	0.283	-0.335	0.303	0.338	-0.060	-0.031	0.209	0.014	0.234	0.219	0.985	0.698	0.358	0.108	0.058	0.054	0.023	0.030	0.014	0.048	0.317
elecsafe_list	-0.146	-0.119	-0.154	-0.071	-0.307	-0.166	-0.278	0.231	-0.424	1.000	0.632	-0.200	0.058	-0.243	-0.196	-0.146	-0.160	0.206	0.031	0.152	0.142	0.537	0.450	0.558	0.120	0.111	0.072	0.061	0.053	0.089	0.044	0.102
elecsafe_overall	-0.258	-0.185	-0.243	0.069	0.487	0.193	-0.158	0.337	0.248	0.632	1.000	0.061	-0.102	0.009	0.173	-0.258	-0.253	0.090	0.033	0.135	0.128	0.293	0.496	0.142	0.096	0.095	0.090	0.054	0.085	0.070	0.016	0.204
partyid_cmp	-0.112	-0.129	-0.158	0.047	0.183	0.087	0.074	0.155	0.283	-0.200	0.061	1.000	-0.453	0.718	0.751	-0.112	-0.168	0.272	0.037	0.856	0.999	0.428	0.220	0.363	0.123	0.081	0.048	0.027	0.019	0.127	0.115	1.000
partyid_ches	0.126	0.077	0.099	0.152	-0.122	0.229	-0.210	-0.206	-0.335	0.058	-0.102	-0.453	1.000	-0.261	0.038	0.126	0.082	0.270	0.025	1.000	0.999	0.556	0.398	0.397	0.275	0.060	0.083	0.036	0.000	0.128	0.112	0.999
partyid_parlgov	0.024	0.054	0.034	0.082	0.175	0.099	0.074	0.037	0.303	-0.243	0.009	0.718	-0.261	1.000	0.759	0.024	-0.006	0.258	0.040	0.715	0.999	0.360	0.186	0.357	0.112	0.040	0.046	0.000	0.031	0.099	0.109	0.998
partyid_parlgov2	-0.276	-0.302	-0.270	0.301	0.474	0.205	0.175	0.235	0.338	-0.196	0.173	0.751	0.038	0.759	1.000	-0.276	-0.027	0.211	0.064	1.000	0.999	0.302	0.161	0.310	0.480	0.065	0.040	0.038	0.026	0.041	0.037	1.000
id_de_parliament_string	1.000	0.642	0.623	0.077	-0.416	-0.013	-0.054	-0.180	-0.060	-0.146	-0.258	-0.112	0.126	0.024	-0.276	1.000	0.620	0.827	0.000	0.814	0.761	0.688	0.588	0.673	0.763	0.180	0.000	0.283	0.267	0.266	0.345	0.200
mp_id_old	0.620	0.759	0.759	0.141	-0.236	-0.106	-0.020	-0.262	-0.031	-0.160	-0.253	-0.168	0.082	-0.006	-0.027	0.620	1.000	0.310	0.039	0.150	0.148	0.135	0.143	0.269	0.292	0.083	0.065	0.045	0.073	0.025	0.051	0.110
gender	0.000	0.289	0.316	0.075	0.000	0.051	0.124	0.145	0.209	0.206	0.090	0.272	0.270	0.258	0.211	0.827	0.310	1.000	0.015	0.277	0.277	0.180	0.180	0.107	0.097	0.026	0.000	0.022	0.027	0.020	0.049	0.254
office_spell	0.000	0.069	0.023	0.000	0.000	0.000	0.058	0.019	0.014	0.031	0.033	0.037	0.025	0.040	0.064	0.000	0.039	0.015	1.000	0.042	0.049	0.029	0.032	0.047	0.000	0.132	0.192	0.070	0.217	0.159	0.125	0.000
party_elec	0.000	0.187	0.162	0.225	0.026	0.118	0.148	0.271	0.234	0.152	0.135	0.856	1.000	0.715	1.000	0.814	0.150	0.277	0.042	1.000	0.964	0.446	0.231	0.388	0.263	0.083	0.049	0.040	0.029	0.132	0.117	0.999
party_elecdet	0.000	0.183	0.166	0.222	0.014	0.112	0.129	0.230	0.219	0.142	0.128	0.999	0.999	0.999	0.999	0.761	0.148	0.277	0.049	0.964	1.000	0.449	0.238	0.389	0.227	0.088	0.041	0.031	0.028	0.133	0.117	0.999
mandate	0.000	0.056	0.052	0.008	0.000	0.062	0.223	0.166	0.985	0.537	0.293	0.428	0.556	0.360	0.302	0.688	0.135	0.180	0.029	0.446	0.449	1.000	1.000	0.161	0.171	0.055	0.041	0.018	0.043	0.000	0.032	0.463
mandate_detailed	0.000	0.220	0.072	0.014	0.000	0.036	0.166	0.098	0.698	0.450	0.496	0.220	0.398	0.186	0.161	0.588	0.143	0.180	0.032	0.231	0.238	1.000	1.000	0.292	0.106	0.062	0.059	0.025	0.076	0.052	0.045	0.335
dualcand	0.009	0.272	0.237	0.180	0.000	0.275	0.115	0.156	0.358	0.558	0.142	0.363	0.397	0.357	0.310	0.673	0.269	0.107	0.047	0.388	0.389	0.161	0.292	1.000	0.349	0.044	0.046	0.031	0.000	0.058	0.033	0.329
list	0.000	0.126	0.121	0.641	0.000	0.139	0.202	0.393	0.108	0.120	0.096	0.123	0.275	0.112	0.480	0.763	0.292	0.097	0.000	0.263	0.227	0.171	0.106	0.349	1.000	0.064	0.021	0.038	0.037	0.046	0.075	0.095
minister	0.000	0.051	0.070	0.036	0.000	0.045	0.123	0.070	0.058	0.111	0.095	0.081	0.060	0.040	0.065	0.180	0.083	0.026	0.132	0.083	0.088	0.055	0.062	0.044	0.064	1.000	0.033	0.013	0.042	0.031	0.026	0.110
junminister	0.000	0.100	0.103	0.022	0.000	0.004	0.061	0.051	0.054	0.072	0.090	0.048	0.083	0.046	0.040	0.000	0.065	0.000	0.192	0.049	0.041	0.041	0.059	0.046	0.021	0.033	1.000	0.016	0.046	0.044	0.021	0.200
parlpres	0.000	0.000	0.063	0.030	0.000	0.000	0.069	0.037	0.023	0.061	0.054	0.027	0.036	0.000	0.038	0.283	0.045	0.022	0.070	0.040	0.031	0.018	0.025	0.031	0.038	0.013	0.016	1.000	0.043	0.172	0.012	0.000
commchair	0.000	0.086	0.112	0.032	0.000	0.041	0.042	0.021	0.030	0.053	0.085	0.019	0.000	0.031	0.026	0.267	0.073	0.027	0.217	0.029	0.028	0.043	0.076	0.000	0.037	0.042	0.046	0.043	1.000	0.000	0.013	0.000
ppgchair	0.000	0.040	0.032	0.024	0.000	0.000	0.149	0.041	0.014	0.089	0.070	0.127	0.128	0.099	0.041	0.266	0.025	0.020	0.159	0.132	0.133	0.000	0.052	0.058	0.046	0.031	0.044	0.172	0.000	1.000	0.039	0.017
whip	0.000	0.032	0.060	0.033	0.000	0.000	0.079	0.046	0.048	0.044	0.016	0.115	0.112	0.109	0.037	0.345	0.051	0.049	0.125	0.117	0.117	0.032	0.045	0.033	0.075	0.026	0.021	0.012	0.013	0.039	1.000	0.050
partyid_bl	1.000	1.000	0.087	0.031	1.000	0.000	0.172	0.306	0.317	0.102	0.204	1.000	0.999	0.998	1.000	0.200	0.110	0.254	0.000	0.999	0.999	0.463	0.335	0.329	0.095	0.110	0.200	0.000	0.000	0.017	0.050	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	id_de_parliament	lastname	firstname	elecper	gender	year_birth	date_birth	date_birth_text	mandate_start	mandate_end	office_spell	spell_start	spell_end	party_elec	party_elecdet	mandate	mandate_detailed	dualcand	district_id	districtvote	closeness_district	list	listpos	listpos_total	elecsafe_district	elecsafe_list	elecsafe_overall	minister	junminister	parlpres	commchair	ppgchair	whip	partyid_cmp	partyid_ches	partyid_bl	partyid_parlgov	partyid_parlgov2	id_de_parliament_string	mp_id_old	pers_id_pdbd	id_de_manow
0	11000001.0	Abelein	Manfred	8	male	1930	1930-10-20	20/10/1930	1976-12-14	1980-11-04	1.0	1976-12-14	1980-11-04	CDU	CDU (Christian Democratic Union)	district mandate	district mandate	no	174.0	0.571	0.202897	NaN	NaN	NaN	0.982470	0.000000	0.982470	no	no	no	no	no	no	41521.0	NaN	NaN	1727.0	808.0	11000001	10.0	DE_Abelein_Manfred_1930	10
1	11000001.0	Abelein	Manfred	7	male	1930	1930-10-20	20/10/1930	1972-12-13	1976-12-13	1.0	1972-12-13	1976-12-13	CDU	CDU (Christian Democratic Union)	district mandate	district mandate	no	174.0	0.531	0.114864	NaN	NaN	NaN	0.949556	0.000000	0.949556	no	no	no	no	no	no	41521.0	NaN	NaN	1727.0	808.0	11000001	10.0	DE_Abelein_Manfred_1930	10
2	11000001.0	Abelein	Manfred	11	male	1930	1930-10-20	20/10/1930	1987-02-18	1990-12-20	1.0	1987-02-18	1990-12-20	CDU	CDU (Christian Democratic Union)	district mandate	district mandate	no	174.0	0.529	0.184236	NaN	NaN	NaN	0.991359	0.000000	0.991359	no	no	no	no	no	no	41521.0	NaN	NaN	1727.0	808.0	11000001	10.0	DE_Abelein_Manfred_1930	10
3	11000001.0	Abelein	Manfred	6	male	1930	1930-10-20	20/10/1930	1969-10-20	1972-09-22	1.0	1969-10-20	1972-09-22	CDU	CDU (Christian Democratic Union)	district mandate	district mandate	no	174.0	0.567	0.224192	NaN	NaN	NaN	0.980323	0.000000	0.980323	no	no	no	no	no	no	41521.0	NaN	NaN	1727.0	808.0	11000001	10.0	DE_Abelein_Manfred_1930	10
4	11000001.0	Abelein	Manfred	9	male	1930	1930-10-20	20/10/1930	1980-11-04	1983-03-29	1.0	1980-11-04	1983-03-29	CDU	CDU (Christian Democratic Union)	district mandate	district mandate	no	174.0	0.535	0.154658	NaN	NaN	NaN	0.963592	0.000000	0.963592	no	no	no	no	no	no	41521.0	NaN	NaN	1727.0	808.0	11000001	10.0	DE_Abelein_Manfred_1930	10
5	11000001.0	Abelein	Manfred	5	male	1930	1930-10-20	20/10/1930	1965-10-19	1969-10-19	1.0	1965-10-19	1969-10-19	CDU	CDU (Christian Democratic Union)	district mandate	district mandate	no	174.0	0.577	0.276113	NaN	NaN	NaN	0.991272	0.000000	0.991272	no	no	no	no	no	no	41521.0	NaN	NaN	1727.0	808.0	11000001	10.0	DE_Abelein_Manfred_1930	10
6	11000001.0	Abelein	Manfred	10	male	1930	1930-10-20	20/10/1930	1983-03-29	1987-02-17	1.0	1983-03-29	1987-02-17	CDU	CDU (Christian Democratic Union)	district mandate	district mandate	no	174.0	0.585	0.241266	NaN	NaN	NaN	0.991784	0.000000	0.991784	no	no	no	no	no	no	41521.0	NaN	NaN	1727.0	808.0	11000001	10.0	DE_Abelein_Manfred_1930	10
7	11000002.0	Achenbach	Ernst	5	male	1909	1909-04-09	09/04/1909	1965-10-19	1969-10-19	1.0	1965-10-19	1969-10-19	FDP	FDP (Free Democratic Party)	list mandate	list mandate (at time of election)	yes	97.0	NaN	0.191258	Nordrhein-Westfalen	7.0	45.0	0.000457	0.994721	0.994723	no	no	no	no	no	no	41420.0	NaN	NaN	543.0	NaN	11000002	14.0	DE_Achenbach_Ernst_1909	14
8	11000002.0	Achenbach	Ernst	4	male	1909	1909-04-09	09/04/1909	1961-10-17	1965-10-17	1.0	1961-10-17	1965-10-17	FDP	FDP (Free Democratic Party)	list mandate	list mandate (at time of election)	yes	99.0	NaN	0.088874	Nordrhein-Westfalen	6.0	61.0	0.003820	0.989941	0.989979	no	no	no	no	no	no	41420.0	NaN	NaN	543.0	NaN	11000002	14.0	DE_Achenbach_Ernst_1909	14
9	11000002.0	Achenbach	Ernst	6	male	1909	1909-04-09	09/04/1909	1969-10-20	1972-09-22	2.0	1971-12-07	1972-09-22	FDP	FDP (Free Democratic Party)	list mandate	list mandate (at time of election)	yes	97.0	NaN	0.245191	Nordrhein-Westfalen	9.0	56.0	0.000212	0.916057	0.916075	no	no	no	no	yes	no	41420.0	NaN	NaN	543.0	NaN	11000002	14.0	DE_Achenbach_Ernst_1909	14

	id_de_parliament	lastname	firstname	elecper	gender	year_birth	date_birth	date_birth_text	mandate_start	mandate_end	office_spell	spell_start	spell_end	party_elec	party_elecdet	mandate	mandate_detailed	dualcand	district_id	districtvote	closeness_district	list	listpos	listpos_total	elecsafe_district	elecsafe_list	elecsafe_overall	minister	junminister	parlpres	commchair	ppgchair	whip	partyid_cmp	partyid_ches	partyid_bl	partyid_parlgov	partyid_parlgov2	id_de_parliament_string	mp_id_old
12963	11004962.0	Dahmen	Janosch	19	male	1981	1981-09-06	06/09/1981	2020-11-12	2021-10-26	1.0	2020-11-12	2021-10-26	Greens	Greens	list mandate	replacement mandate from list	yes	139.0	0.085864	0.281263	Nordrhein-Westfalen	14.0	39.0	0.000743	0.342777	0.343266	no	no	no	no	no	no	41113.0	304.0	NaN	772.0	772.0	11004962	NaN
12964	11004966.0	Nordt	Kristina	19	female	1982	1982-02-17	17/02/1982	2021-03-22	2021-10-26	1.0	2021-03-22	2021-10-26	CDU	CDU (Christian Democratic Union)	list mandate	replacement mandate from list	no	NaN	NaN	NaN	Thüringen	6.0	13.0	0.000000	0.000272	0.000272	no	no	no	no	no	no	41521.0	301.0	NaN	1727.0	808.0	11004966	NaN
12965	11004967.0	Friemann-Jennert	Maika	19	female	1964	1964-06-24	24/06/1964	2021-04-07	2021-10-26	1.0	2021-04-07	2021-10-26	CDU	CDU (Christian Democratic Union)	list mandate	replacement mandate from list	no	NaN	NaN	NaN	Mecklenburg-Vorpommern	7.0	11.0	0.000000	0.000085	0.000085	no	no	no	no	no	no	41521.0	301.0	NaN	1727.0	808.0	11004967	NaN
12966	11004968.0	Gohl	Christopher	19	male	1974	1974-05-23	23/05/1974	2021-05-01	2021-10-26	1.0	2021-05-01	2021-10-26	FDP	FDP (Free Democratic Party)	list mandate	replacement mandate from list	yes	290.0	0.079046	0.277787	Baden-Württemberg	13.0	37.0	0.000347	0.261055	0.261311	no	no	no	no	no	no	41420.0	303.0	NaN	543.0	543.0	11004968	NaN
12967	11004969.0	Emmerich	Marcel	19	male	1991	1991-05-12	12/05/1991	2021-06-01	2021-10-26	1.0	2021-06-01	2021-10-26	Greens	Greens	list mandate	replacement mandate from list	yes	291.0	0.119639	0.306987	Baden-Württemberg	16.0	40.0	0.000163	0.015896	0.016056	no	no	no	no	no	no	41113.0	304.0	NaN	772.0	772.0	11004969	NaN
12968	11004970.0	Susanne	Wetterich	19	female	1956	1956-04-21	21/04/1956	2021-07-01	2021-10-26	1.0	2021-07-01	2021-10-26	CDU	CDU (Christian Democratic Union)	list mandate	replacement mandate from list	no	NaN	NaN	NaN	Baden-Württemberg	11.0	60.0	0.000000	0.196396	0.196396	no	no	no	no	no	no	41521.0	301.0	NaN	1727.0	808.0	11004970	NaN
12969	11004971.0	Florian	Jäger	19	male	1971	1971-01-18	18/01/1971	2021-07-20	2021-10-26	1.0	2021-07-20	2021-10-26	AfD	AfD (Alternative für Deutschland)	list mandate	replacement mandate from list	yes	215.0	0.102229	0.334126	Bayern	15.0	NaN	0.000040	0.142462	0.142496	no	no	no	no	no	no	41953.0	310.0	NaN	2253.0	2253.0	11004971	NaN
12970	11004972.0	Zeki	Gökhan	19	male	1956	1956-02-12	12/02/1956	2021-08-19	2021-10-26	1.0	2021-08-19	2021-10-26	Left Party/PDS	Left/PDS (The Left, previously Party of Democratic Socialism)	list mandate	replacement mandate from list	yes	91.0	0.045368	0.346558	Nordrhein-Westfalen	14.0	30.0	0.000153	0.046013	0.046159	no	no	no	no	no	no	41222.0	306.0	NaN	791.0	791.0	11004972	NaN
12971	55555556.0	Hinz	Peter	18	male	1958	1958-04-10	10/04/1958	2013-10-27	2013-10-22	1.0	2013-10-27	2013-10-22	CDU	CDU (Christian Democratic Union)	list mandate	list mandate (at time of election)	no	NaN	NaN	NaN	Baden-Württemberg	16.0	55.0	0.000000	0.171648	0.171648	no	no	no	no	no	no	41521.0	301.0	NaN	1727.0	808.0	55555556	NaN
12972	66666664.0	Bernd	Buchholz	19	male	1961	1961-11-02	02/11/1961	2017-10-24	2017-10-24	1.0	2017-10-24	2017-10-24	FDP	FDP (Free Democratic Party)	list mandate	list mandate (at time of election)	yes	10.0	0.082262	0.312685	Schleswig-Holstein	2.0	10.0	0.000096	0.767055	0.767078	no	no	no	no	no	no	41420.0	303.0	NaN	543.0	543.0	66666664	NaN

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Open Punctuation

Close Punctuation

Dash Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Dash Punctuation

Other Punctuation

Space Separator

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Punctuation

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks